From 62c6c07636740770347995a1564684e8d780a4e1 Mon Sep 17 00:00:00 2001 From: RichardObi Date: Mon, 27 Nov 2023 18:57:31 +0100 Subject: [PATCH 01/15] Improvements in code and error logging after testing model.contribute(). Update of zenodo after change in API response code (i.e. 201 instead of 200). --- src/medigan/contribute_model/model_contributor.py | 5 +++++ src/medigan/contribute_model/zenodo_model_uploader.py | 8 ++++---- src/medigan/execute_model/model_executor.py | 5 ++++- 3 files changed, 13 insertions(+), 5 deletions(-) diff --git a/src/medigan/contribute_model/model_contributor.py b/src/medigan/contribute_model/model_contributor.py index 85ee316..52e0646 100644 --- a/src/medigan/contribute_model/model_contributor.py +++ b/src/medigan/contribute_model/model_contributor.py @@ -253,6 +253,9 @@ def push_to_zenodo( self.zenodo_model_uploader = ZenodoModelUploader( model_id=self.model_id, access_token=access_token ) + # Update in case previous access token gave an error + self.zenodo_model_uploader.access_token = access_token + return self.zenodo_model_uploader.push( metadata=self.metadata, package_path=self.package_path, @@ -301,6 +304,8 @@ def push_to_github( self.github_model_uploader = GithubModelUploader( model_id=self.model_id, access_token=access_token ) + # Update in case previous access token gave an error + self.github_model_uploader.access_token = access_token return self.github_model_uploader.push( metadata=self.metadata, diff --git a/src/medigan/contribute_model/zenodo_model_uploader.py b/src/medigan/contribute_model/zenodo_model_uploader.py index 0e2b939..dea67d1 100644 --- a/src/medigan/contribute_model/zenodo_model_uploader.py +++ b/src/medigan/contribute_model/zenodo_model_uploader.py @@ -203,9 +203,9 @@ def upload(self, file_path: str, filename: str, bucket_url: str) -> dict: params=self.params, ) - if not r.status_code == 200: + if not r.status_code == 200 and not r.status_code == 201: raise Exception( - f"{self.model_id}: Error ({r.status_code}!=200) during Zenodo ('{bucket_url}') upload (step 2: uploading model as zip file): {r.json()}" + f"{self.model_id}: Error ({r.status_code}!= any of (200, 201) ) during Zenodo ('{bucket_url}') upload (step 2: uploading model as zip file): {r.json()}" ) return r @@ -231,9 +231,9 @@ def upload_descriptive_data(self, deposition_id: str, data: dict) -> dict: data=json.dumps(data), headers=ZENODO_HEADERS, ) - if not r.status_code == 200: + if not r.status_code == 200 and not r.status_code == 201: raise Exception( - f"{self.model_id}: Error ({r.status_code}!=200) during Zenodo ('{deposition_url}') upload (step 3: updating metadata): {r.json()}" + f"{self.model_id}: Error ({r.status_code}!= any of (200, 201) ) during Zenodo ('{deposition_url}') upload (step 3: updating metadata): {r.json()}" ) return r diff --git a/src/medigan/execute_model/model_executor.py b/src/medigan/execute_model/model_executor.py index 93b0a65..d6b1357 100644 --- a/src/medigan/execute_model/model_executor.py +++ b/src/medigan/execute_model/model_executor.py @@ -276,7 +276,10 @@ def _import_package_as_lib(self): self.serialised_model_file_path = f"{MODEL_FOLDER}/{self.model_id}/{self.model_name}{self.model_extension}" except Exception as e: logging.error( - f"{self.model_id}: Error while importing {self.package_name} from /{self.model_id}: {e}" + f"{self.model_id}: Error occurred while trying to import " + f"'{MODEL_FOLDER}.{self.model_id}.{self.package_name}'." + f"Fallback import of '{MODEL_FOLDER}.{self.model_id}' also failed. " + f"Please make sure the module '{MODEL_FOLDER}' is not imported from elsewhere in your syspath: {e}" ) raise e From 218e3e25056d77b5c953a28304dad7f603243173 Mon Sep 17 00:00:00 2001 From: RichardObi Date: Mon, 27 Nov 2023 22:50:36 +0100 Subject: [PATCH 02/15] Integration of model 00023 in medigan. --- README.md | 65 ++++---- config/global.json | 142 +++++++++++++++++- docs/source/_static/samples/00023.png | Bin 0 -> 14196 bytes .../samples/c-dcgan/model8_samples.png | Bin 0 -> 279748 bytes .../c-dcgan/sample_benign_synthetic-1.png | Bin 0 -> 68087 bytes .../c-dcgan/sample_benign_synthetic-2.png | Bin 0 -> 64880 bytes .../c-dcgan/sample_benign_synthetic-3.png | Bin 0 -> 66893 bytes .../c-dcgan/sample_malignant_syn-1.png | Bin 0 -> 70893 bytes .../c-dcgan/sample_malignant_syn-2.png | Bin 0 -> 67432 bytes .../c-dcgan/sample_malignant_syn-3.png | Bin 0 -> 66649 bytes docs/source/model_documentation.md | 32 ++++ tests/test_model_executor.py | 8 + 12 files changed, 211 insertions(+), 36 deletions(-) create mode 100644 docs/source/_static/samples/00023.png create mode 100644 docs/source/_static/samples/c-dcgan/model8_samples.png create mode 100644 docs/source/_static/samples/c-dcgan/sample_benign_synthetic-1.png create mode 100644 docs/source/_static/samples/c-dcgan/sample_benign_synthetic-2.png create mode 100644 docs/source/_static/samples/c-dcgan/sample_benign_synthetic-3.png create mode 100644 docs/source/_static/samples/c-dcgan/sample_malignant_syn-1.png create mode 100644 docs/source/_static/samples/c-dcgan/sample_malignant_syn-2.png create mode 100644 docs/source/_static/samples/c-dcgan/sample_malignant_syn-3.png diff --git a/README.md b/README.md index 093783a..091b709 100644 --- a/README.md +++ b/README.md @@ -36,30 +36,31 @@ Contribute your own generative model to `medigan` to increase its visibility, re ## Available models -| Output type | Modality | Model type | Output size | Base dataset | Output examples | `model_id` | Hosted on | Reference | -|-----------------------------|:--------:|:-------------:|:--------:|:------------:|:------:|:------:|:------:|:------:| -| Breast Calcification | mammography | dcgan | 128x128 | [Inbreast](https://www.academicradiology.org/article/S1076-6332(11)00451-X/fulltext) | ![sample](docs/source/_static/samples/00001.png) | [`00001_DCGAN_MMG_CALC_ROI`](https://medigan.readthedocs.io/en/latest/models.html#dcgan-mmg-calc-roi) | [Zenodo (5187714)](https://doi.org/10.5281/zenodo.5187714) | | -| Breast Mass | mammography | dcgan | 128x128 | [Optimam](https://doi.org/10.48550/arXiv.2004.04742) | ![sample](docs/source/_static/samples/00002.png) | [`00002_DCGAN_MMG_MASS_ROI`](https://medigan.readthedocs.io/en/latest/models.html#dcgan-mmg-mass-roi) | [Zenodo (5188557)](https://doi.org/10.5281/zenodo.5188557) | [Alyafi et al (2019)](https://doi.org/10.48550/arXiv.1909.02062) | -| Breast Density Transfer | mammography | cyclegan | 1332x800 | [BCDR](https://bcdr.eu/information/about) | ![sample](docs/source/_static/samples/00003.png) | [`00003_CYCLEGAN_MMG_DENSITY_FULL`](https://medigan.readthedocs.io/en/latest/models.html#cyclegan-mmg-density-full) | [Zenodo (5547263)](https://doi.org/10.5281/zenodo.5547263) | [Garrucho et al (2022)](https://doi.org/10.48550/arXiv.2209.09809) | -| Breast Mass with Mask | mammography | pix2pix | 256x256 | [BCDR](https://bcdr.eu/information/about) | ![sample](docs/source/_static/samples/00004.png)
![sample](docs/source/_static/samples/00004_mask.png) | [`00004_PIX2PIX_MMG_MASSES_W_MASKS`](https://medigan.readthedocs.io/en/latest/models.html#pix2pix-mmg-masses-w-masks) | [Zenodo (7093759)](https://doi.org/10.5281/zenodo.7093759) | | -| Breast Mass | mammography | dcgan | 128x128 | [BCDR](https://bcdr.eu/information/about) | ![sample](docs/source/_static/samples/00005.png) | [`00005_DCGAN_MMG_MASS_ROI`](https://medigan.readthedocs.io/en/latest/models.html#id1) | [Zenodo (6555188)](https://doi.org/10.5281/zenodo.6555188) | [Szafranowska et al (2022)](https://doi.org/10.48550/arXiv.2203.04961) | -| Breast Mass | mammography | wgan-gp | 128x128 | [BCDR](https://bcdr.eu/information/about) | ![sample](docs/source/_static/samples/00006.png) | [`00006_WGANGP_MMG_MASS_ROI`](https://medigan.readthedocs.io/en/latest/models.html#wgangp-mmg-mass-roi) | [Zenodo (6554713)](https://doi.org/10.5281/zenodo.6554713) | [Szafranowska et al (2022)](https://doi.org/10.48550/arXiv.2203.04961) | -| Brain Tumors on Flair, T1, T1c, T2 with Masks | brain MRI | inpaint GAN | 256x256 | [BRATS 2018](https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=37224922) | ![sample](docs/source/_static/samples/00007_F.png)
![sample](docs/source/_static/samples/00007_T1.png)
![sample](docs/source/_static/samples/00007_T1c.png)
![sample](docs/source/_static/samples/00007_T2.png)
![sample](docs/source/_static/samples/00007_mask.png)
![sample](docs/source/_static/samples/00007_grade_mask.png) | [`00007_INPAINT_BRAIN_MRI`](https://medigan.readthedocs.io/en/latest/models.html#inpaint-brain-mri) | [Zenodo (7041737)](https://doi.org/10.5281/zenodo.7041737) | [Kim et al (2020)](https://doi.org/10.1002/mp.14701) | -| Breast Mass (Mal/Benign) | mammography | c-dcgan | 128x128 | [CBIS-DDSM](https://wiki.cancerimagingarchive.net/display/Public/CBIS-DDSM) | ![sample](docs/source/_static/samples/00008.png) | [`00008_C-DCGAN_MMG_MASSES`](https://medigan.readthedocs.io/en/latest/models.html#c-dcgan-mmg-masses) | [Zenodo (6647349)](https://doi.org/10.5281/zenodo.6647349) | | -| Polyp with Mask | endoscopy | pggan | 256x256 | [HyperKvasir](https://osf.io/mh9sj/) | ![sample](docs/source/_static/samples/00009.png)
![sample](docs/source/_static/samples/00009_mask.png) | [`00009_PGGAN_POLYP_PATCHES_W_MASKS`](https://medigan.readthedocs.io/en/latest/models.html#pggan-polyp-patches-w-masks) | [Zenodo (6653743)](https://doi.org/10.5281/zenodo.6653743) | [Thambawita et al (2022)](https://doi.org/10.1371/journal.pone.0267976) | -| Polyp with Mask | endoscopy | fastgan | 256x256 | [HyperKvasir](https://osf.io/mh9sj/) | ![sample](docs/source/_static/samples/00010.png)
![sample](docs/source/_static/samples/00010_mask.png) | [`00010_FASTGAN_POLYP_PATCHES_W_MASKS`](https://medigan.readthedocs.io/en/latest/models.html#fastgan-polyp-patches-w-masks) | [Zenodo (6660711)](https://doi.org/10.5281/zenodo.6660711) | [Thambawita et al (2022)](https://doi.org/10.1371/journal.pone.0267976) | -| Polyp with Mask | endoscopy | singan | ≈250x250 | [HyperKvasir](https://osf.io/mh9sj/) | ![sample](docs/source/_static/samples/00011.png)
![sample](docs/source/_static/samples/00011_mask.png) | [`00011_SINGAN_POLYP_PATCHES_W_MASKS`](https://medigan.readthedocs.io/en/latest/models.html#singan-polyp-patches-w-masks) | [Zenodo (6667944)](https://doi.org/10.5281/zenodo.6667944) | [Thambawita et al (2022)](https://doi.org/10.1371/journal.pone.0267976) | -| Breast Mass (Mal/Benign) | mammography | c-dcgan | 128x128 | [BCDR](https://bcdr.eu/information/about) | ![sample](docs/source/_static/samples/00012.png) | [`00012_C-DCGAN_MMG_MASSES`](https://medigan.readthedocs.io/en/latest/models.html#id2) | [Zenodo (6755693)](https://doi.org/10.5281/zenodo.6818095) | | -| Breast Density Transfer MLO | mammography | cyclegan | 1332x800 | [OPTIMAM](https://doi.org/10.48550/arXiv.2004.04742) | ![sample](docs/source/_static/samples/00013.png) | [`00013_CYCLEGAN_MMG_DENSITY_OPTIMAM_MLO`](https://medigan.readthedocs.io/en/latest/models.html#cyclegan-mmg-density-optimam-mlo) | [Zenodo (6818095)](https://doi.org/10.5281/zenodo.6818095) | [Garrucho et al (2022)](https://doi.org/10.48550/arXiv.2209.09809) | -| Breast Density Transfer CC | mammography | cyclegan | 1332x800 | [OPTIMAM](https://doi.org/10.48550/arXiv.2004.04742) | ![sample](docs/source/_static/samples/00014.png) | [`00014_CYCLEGAN_MMG_DENSITY_OPTIMAM_CC`](https://medigan.readthedocs.io/en/latest/models.html#cyclegan-mmg-density-optimam-cc) | [Zenodo (6818103)](https://doi.org/10.5281/zenodo.6818103) | [Garrucho et al (2022)](https://doi.org/10.48550/arXiv.2209.09809) | -| Breast Density Transfer MLO | mammography | cyclegan | 1332x800 | [CSAW](https://link.springer.com/article/10.1007/s10278-019-00278-0) | ![sample](docs/source/_static/samples/00015.png) | [`00015_CYCLEGAN_MMG_DENSITY_CSAW_MLO`](https://medigan.readthedocs.io/en/latest/models.html#cyclegan-mmg-density-csaw-mlo) | [Zenodo (6818105)](https://doi.org/10.5281/zenodo.6818105) | [Garrucho et al (2022)](https://doi.org/10.48550/arXiv.2209.09809) | -| Breast Density Transfer CC | mammography | cyclegan | 1332x800 | [CSAW](https://link.springer.com/article/10.1007/s10278-019-00278-0) | ![sample](docs/source/_static/samples/00016.png) | [`00016_CYCLEGAN_MMG_DENSITY_CSAW_CC`](https://medigan.readthedocs.io/en/latest/models.html#cyclegan-mmg-density-csaw-cc) | [Zenodo (6818107)](https://doi.org/10.5281/zenodo.6818107) | [Garrucho et al (2022)](https://doi.org/10.48550/arXiv.2209.09809) | -| Lung Nodules | chest x-ray | dcgan | 128x128 | [NODE21](https://zenodo.org/record/4725881#.YxNmNuxBwXA) | ![sample](docs/source/_static/samples/00017.png) | [`00017_DCGAN_XRAY_LUNG_NODULES`](https://medigan.readthedocs.io/en/latest/models.html#dcgan-xray-lung-nodules) | [Zenodo (6943691)](https://doi.org/10.5281/zenodo.6943691) | | -| Lung Nodules | chest x-ray | wgan-gp | 128x128 | [NODE21](https://zenodo.org/record/4725881#.YxNmNuxBwXA) | ![sample](docs/source/_static/samples/00018.png) | [`00018_WGANGP_XRAY_LUNG_NODULES`](https://medigan.readthedocs.io/en/latest/models.html#wgangp-xray-lung-nodules) | [Zenodo (6943761)](https://doi.org/10.5281/zenodo.6943761) | | -| Chest Xray Images | chest x-ray | pggan | 1024x1024 | [ChestX-ray14](https://nihcc.app.box.com/v/ChestXray-NIHCC/folder/36938765345) | ![sample](docs/source/_static/samples/00019.png) | [`00019_PGGAN_CHEST_XRAY`](https://medigan.readthedocs.io/en/latest/models.html#pggan-chest-xray) | [Zenodo (6943803)](https://doi.org/10.5281/zenodo.6943803) | | -| Chest Xray Images | chest x-ray | pggan | 1024x1024 | [ChestX-ray14](https://nihcc.app.box.com/v/ChestXray-NIHCC/folder/36938765345) | ![sample](docs/source/_static/samples/00020.png) | [`00020_PGGAN_CHEST_XRAY`](https://medigan.readthedocs.io/en/latest/models.html#id3) | [Zenodo (7046280)](https://doi.org/10.5281/zenodo.7046280) | [Segal et al (2021)](https://doi.org/10.1007/s42979-021-00720-7) | -| Brain T1-T2 MRI Modality Transfer | brain MRI | cyclegan | 224x192 | [CrossMoDA 2021](https://arxiv.org/abs/2201.02831) | ![sample](docs/source/_static/samples/00021.png) | [`00021_CYCLEGAN_BRAIN_MRI_T1_T2`](https://medigan.readthedocs.io/en/latest/models.html#cyclegan-brain-mri-t1-t2) | [Zenodo (7074555)](https://doi.org/10.5281/zenodo.7074555) | [Joshi et al (2022)](https://doi.org/10.1007/978-3-031-09002-8_47) | -| Cardiac MRI Age Transfer | cardiac MRI | wgan | 256x256 | [UK Biobank](https://www.ukbiobank.ac.uk/) | ![sample](docs/source/_static/samples/00022.png) | [`00022_WGAN_CARDIAC_AGING`](https://medigan.readthedocs.io/en/latest/models.html#wgan-cardiac-aging) | [Zenodo (7446930)](https://doi.org/10.5281/zenodo.74469305) | [Campello et al (2022)](https://doi.org/10.3389/fcvm.2022.983091) | +| Output type | Modality | Model type | Output size | Base dataset | Output examples | `model_id` | Hosted on | Reference | +|-------------------------------------------------------------|:-----------------------------:|:-----------------------------:|:-----------------------:|:--------------------------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------:| +| Breast Calcification | mammography | dcgan | 128x128 | [Inbreast](https://www.academicradiology.org/article/S1076-6332(11)00451-X/fulltext) | ![sample](docs/source/_static/samples/00001.png) | [`00001_DCGAN_MMG_CALC_ROI`](https://medigan.readthedocs.io/en/latest/models.html#dcgan-mmg-calc-roi) | [Zenodo (5187714)](https://doi.org/10.5281/zenodo.5187714) | | +| Breast Mass | mammography | dcgan | 128x128 | [Optimam](https://doi.org/10.48550/arXiv.2004.04742) | ![sample](docs/source/_static/samples/00002.png) | [`00002_DCGAN_MMG_MASS_ROI`](https://medigan.readthedocs.io/en/latest/models.html#dcgan-mmg-mass-roi) | [Zenodo (5188557)](https://doi.org/10.5281/zenodo.5188557) | [Alyafi et al (2019)](https://doi.org/10.48550/arXiv.1909.02062) | +| Breast Density Transfer | mammography | cyclegan | 1332x800 | [BCDR](https://bcdr.eu/information/about) | ![sample](docs/source/_static/samples/00003.png) | [`00003_CYCLEGAN_MMG_DENSITY_FULL`](https://medigan.readthedocs.io/en/latest/models.html#cyclegan-mmg-density-full) | [Zenodo (5547263)](https://doi.org/10.5281/zenodo.5547263) | [Garrucho et al (2022)](https://doi.org/10.48550/arXiv.2209.09809) | +| Breast Mass with Mask | mammography | pix2pix | 256x256 | [BCDR](https://bcdr.eu/information/about) | ![sample](docs/source/_static/samples/00004.png)
![sample](docs/source/_static/samples/00004_mask.png) | [`00004_PIX2PIX_MMG_MASSES_W_MASKS`](https://medigan.readthedocs.io/en/latest/models.html#pix2pix-mmg-masses-w-masks) | [Zenodo (7093759)](https://doi.org/10.5281/zenodo.7093759) | | +| Breast Mass | mammography | dcgan | 128x128 | [BCDR](https://bcdr.eu/information/about) | ![sample](docs/source/_static/samples/00005.png) | [`00005_DCGAN_MMG_MASS_ROI`](https://medigan.readthedocs.io/en/latest/models.html#id1) | [Zenodo (6555188)](https://doi.org/10.5281/zenodo.6555188) | [Szafranowska et al (2022)](https://doi.org/10.48550/arXiv.2203.04961) | +| Breast Mass | mammography | wgan-gp | 128x128 | [BCDR](https://bcdr.eu/information/about) | ![sample](docs/source/_static/samples/00006.png) | [`00006_WGANGP_MMG_MASS_ROI`](https://medigan.readthedocs.io/en/latest/models.html#wgangp-mmg-mass-roi) | [Zenodo (6554713)](https://doi.org/10.5281/zenodo.6554713) | [Szafranowska et al (2022)](https://doi.org/10.48550/arXiv.2203.04961) | +| Brain Tumors on Flair, T1, T1c, T2 with Masks | brain MRI | inpaint GAN | 256x256 | [BRATS 2018](https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=37224922) | ![sample](docs/source/_static/samples/00007_F.png)
![sample](docs/source/_static/samples/00007_T1.png)
![sample](docs/source/_static/samples/00007_T1c.png)
![sample](docs/source/_static/samples/00007_T2.png)
![sample](docs/source/_static/samples/00007_mask.png)
![sample](docs/source/_static/samples/00007_grade_mask.png) | [`00007_INPAINT_BRAIN_MRI`](https://medigan.readthedocs.io/en/latest/models.html#inpaint-brain-mri) | [Zenodo (7041737)](https://doi.org/10.5281/zenodo.7041737) | [Kim et al (2020)](https://doi.org/10.1002/mp.14701) | +| Breast Mass (Mal/Benign) | mammography | c-dcgan | 128x128 | [CBIS-DDSM](https://wiki.cancerimagingarchive.net/display/Public/CBIS-DDSM) | ![sample](docs/source/_static/samples/00008.png) | [`00008_C-DCGAN_MMG_MASSES`](https://medigan.readthedocs.io/en/latest/models.html#c-dcgan-mmg-masses) | [Zenodo (6647349)](https://doi.org/10.5281/zenodo.6647349) | | +| Polyp with Mask | endoscopy | pggan | 256x256 | [HyperKvasir](https://osf.io/mh9sj/) | ![sample](docs/source/_static/samples/00009.png)
![sample](docs/source/_static/samples/00009_mask.png) | [`00009_PGGAN_POLYP_PATCHES_W_MASKS`](https://medigan.readthedocs.io/en/latest/models.html#pggan-polyp-patches-w-masks) | [Zenodo (6653743)](https://doi.org/10.5281/zenodo.6653743) | [Thambawita et al (2022)](https://doi.org/10.1371/journal.pone.0267976) | +| Polyp with Mask | endoscopy | fastgan | 256x256 | [HyperKvasir](https://osf.io/mh9sj/) | ![sample](docs/source/_static/samples/00010.png)
![sample](docs/source/_static/samples/00010_mask.png) | [`00010_FASTGAN_POLYP_PATCHES_W_MASKS`](https://medigan.readthedocs.io/en/latest/models.html#fastgan-polyp-patches-w-masks) | [Zenodo (6660711)](https://doi.org/10.5281/zenodo.6660711) | [Thambawita et al (2022)](https://doi.org/10.1371/journal.pone.0267976) | +| Polyp with Mask | endoscopy | singan | ≈250x250 | [HyperKvasir](https://osf.io/mh9sj/) | ![sample](docs/source/_static/samples/00011.png)
![sample](docs/source/_static/samples/00011_mask.png) | [`00011_SINGAN_POLYP_PATCHES_W_MASKS`](https://medigan.readthedocs.io/en/latest/models.html#singan-polyp-patches-w-masks) | [Zenodo (6667944)](https://doi.org/10.5281/zenodo.6667944) | [Thambawita et al (2022)](https://doi.org/10.1371/journal.pone.0267976) | +| Breast Mass (Mal/Benign) | mammography | c-dcgan | 128x128 | [BCDR](https://bcdr.eu/information/about) | ![sample](docs/source/_static/samples/00012.png) | [`00012_C-DCGAN_MMG_MASSES`](https://medigan.readthedocs.io/en/latest/models.html#id2) | [Zenodo (6755693)](https://doi.org/10.5281/zenodo.6818095) | | +| Breast Density Transfer MLO | mammography | cyclegan | 1332x800 | [OPTIMAM](https://doi.org/10.48550/arXiv.2004.04742) | ![sample](docs/source/_static/samples/00013.png) | [`00013_CYCLEGAN_MMG_DENSITY_OPTIMAM_MLO`](https://medigan.readthedocs.io/en/latest/models.html#cyclegan-mmg-density-optimam-mlo) | [Zenodo (6818095)](https://doi.org/10.5281/zenodo.6818095) | [Garrucho et al (2022)](https://doi.org/10.48550/arXiv.2209.09809) | +| Breast Density Transfer CC | mammography | cyclegan | 1332x800 | [OPTIMAM](https://doi.org/10.48550/arXiv.2004.04742) | ![sample](docs/source/_static/samples/00014.png) | [`00014_CYCLEGAN_MMG_DENSITY_OPTIMAM_CC`](https://medigan.readthedocs.io/en/latest/models.html#cyclegan-mmg-density-optimam-cc) | [Zenodo (6818103)](https://doi.org/10.5281/zenodo.6818103) | [Garrucho et al (2022)](https://doi.org/10.48550/arXiv.2209.09809) | +| Breast Density Transfer MLO | mammography | cyclegan | 1332x800 | [CSAW](https://link.springer.com/article/10.1007/s10278-019-00278-0) | ![sample](docs/source/_static/samples/00015.png) | [`00015_CYCLEGAN_MMG_DENSITY_CSAW_MLO`](https://medigan.readthedocs.io/en/latest/models.html#cyclegan-mmg-density-csaw-mlo) | [Zenodo (6818105)](https://doi.org/10.5281/zenodo.6818105) | [Garrucho et al (2022)](https://doi.org/10.48550/arXiv.2209.09809) | +| Breast Density Transfer CC | mammography | cyclegan | 1332x800 | [CSAW](https://link.springer.com/article/10.1007/s10278-019-00278-0) | ![sample](docs/source/_static/samples/00016.png) | [`00016_CYCLEGAN_MMG_DENSITY_CSAW_CC`](https://medigan.readthedocs.io/en/latest/models.html#cyclegan-mmg-density-csaw-cc) | [Zenodo (6818107)](https://doi.org/10.5281/zenodo.6818107) | [Garrucho et al (2022)](https://doi.org/10.48550/arXiv.2209.09809) | +| Lung Nodules | chest x-ray | dcgan | 128x128 | [NODE21](https://zenodo.org/record/4725881#.YxNmNuxBwXA) | ![sample](docs/source/_static/samples/00017.png) | [`00017_DCGAN_XRAY_LUNG_NODULES`](https://medigan.readthedocs.io/en/latest/models.html#dcgan-xray-lung-nodules) | [Zenodo (6943691)](https://doi.org/10.5281/zenodo.6943691) | | +| Lung Nodules | chest x-ray | wgan-gp | 128x128 | [NODE21](https://zenodo.org/record/4725881#.YxNmNuxBwXA) | ![sample](docs/source/_static/samples/00018.png) | [`00018_WGANGP_XRAY_LUNG_NODULES`](https://medigan.readthedocs.io/en/latest/models.html#wgangp-xray-lung-nodules) | [Zenodo (6943761)](https://doi.org/10.5281/zenodo.6943761) | | +| Chest Xray Images | chest x-ray | pggan | 1024x1024 | [ChestX-ray14](https://nihcc.app.box.com/v/ChestXray-NIHCC/folder/36938765345) | ![sample](docs/source/_static/samples/00019.png) | [`00019_PGGAN_CHEST_XRAY`](https://medigan.readthedocs.io/en/latest/models.html#pggan-chest-xray) | [Zenodo (6943803)](https://doi.org/10.5281/zenodo.6943803) | | +| Chest Xray Images | chest x-ray | pggan | 1024x1024 | [ChestX-ray14](https://nihcc.app.box.com/v/ChestXray-NIHCC/folder/36938765345) | ![sample](docs/source/_static/samples/00020.png) | [`00020_PGGAN_CHEST_XRAY`](https://medigan.readthedocs.io/en/latest/models.html#id3) | [Zenodo (7046280)](https://doi.org/10.5281/zenodo.7046280) | [Segal et al (2021)](https://doi.org/10.1007/s42979-021-00720-7) | +| Brain T1-T2 MRI Modality Transfer | brain MRI | cyclegan | 224x192 | [CrossMoDA 2021](https://arxiv.org/abs/2201.02831) | ![sample](docs/source/_static/samples/00021.png) | [`00021_CYCLEGAN_BRAIN_MRI_T1_T2`](https://medigan.readthedocs.io/en/latest/models.html#cyclegan-brain-mri-t1-t2) | [Zenodo (7074555)](https://doi.org/10.5281/zenodo.7074555) | [Joshi et al (2022)](https://doi.org/10.1007/978-3-031-09002-8_47) | +| Cardiac MRI Age Transfer | cardiac MRI | wgan | 256x256 | [UK Biobank](https://www.ukbiobank.ac.uk/) | ![sample](docs/source/_static/samples/00022.png) | [`00022_WGAN_CARDIAC_AGING`](https://medigan.readthedocs.io/en/latest/models.html#wgan-cardiac-aging) | [Zenodo (7446930)](https://doi.org/10.5281/zenodo.74469305) | [Campello et al (2022)](https://doi.org/10.3389/fcvm.2022.983091) | +| Breast DCE-MRI Contrast Injection | breast DCE-MRI | pix2pixHD | 512x512 | [Duke Dataset](https://sites.duke.edu/mazurowski/resources/breast-cancer-mri-dataset/) | ![sample](docs/source/_static/samples/00023.png) | [`00023_PIX2PIXHD_BREAST_DCEMRI`](https://medigan.readthedocs.io/en/latest/models.html#pix2pixhd-breast-dcemri) | [Zenodo (10210944)](https://zenodo.org/doi/10.5281/zenodo.10210944) | [Osuala et al (2023)](https://doi.org/10.48550/arXiv.2311.10879) | Model information can be found in: - [model documentation](https://medigan.readthedocs.io/en/latest/models.html) (e.g. the parameters of the models' generate functions) @@ -68,7 +69,7 @@ Model information can be found in: ## Installation To install the current release, simply run: -```python +```console pip install medigan ``` Or, alternatively via conda: @@ -84,22 +85,18 @@ Documentation is available at [medigan.readthedocs.io](https://medigan.readthedo ### Generation example #### DCGAN -Create mammography calcification images using DCGAN model +Create mammography masses with labels (malignant or benign) using a cDCGAN model. ```python # import medigan and initialize Generators from medigan import Generators generators = Generators() -# generate 6 samples with model 1 (00001_DCGAN_MMG_CALC_ROI). +# generate 8 samples with model 8 (00008_C-DCGAN_MMG_MASSES). # Also, auto-install required model dependencies. -generators.generate(model_id=1, num_samples=6, install_dependencies=True) +generators.generate(model_id=8, num_samples=8, install_dependencies=True) ``` -![sample](docs/source/_static/samples/dcgan/gan_sample_1.png) -![sample](docs/source/_static/samples/dcgan/gan_sample_2.png) -![sample](docs/source/_static/samples/dcgan/gan_sample_3.png) -![sample](docs/source/_static/samples/dcgan/gan_sample_4.png) -![sample](docs/source/_static/samples/dcgan/3.png) -![sample](docs/source/_static/samples/dcgan/gan_sample_5.png) +![sample](docs/source/_static/samples/c-dcgan/model8_samples.png) +The generated top row samples are malignant and the bottom row samples benign masses (regions-of-interest of mammograms). #### CYCLEGAN diff --git a/config/global.json b/config/global.json index 5e31acd..630706f 100644 --- a/config/global.json +++ b/config/global.json @@ -3354,7 +3354,145 @@ "view: default=\"la\" help=", "subcat: default=\"2ch\", help=" ], - "comment": "" + "comment": "Conditional WGAN-GP Model for Cardiac Image generation with age offset (Trained on UK Biobank). A conditional wasserstein generative adversarial network with gradient penalty (WGAN_GP) that generates MRI cardiac images. The pixel dimension of the generated images is 256x256. The uploaded ZIP file contains the files model.ckpt (model weights), __init__.py (image generation method and utils), a requirements.txt, and the used GAN training config file. A sample_image.png is provided for example generation." } - } + }, + "00023_PIX2PIXHD_BREAST_DCEMRI": { + "execution": { + "package_name": "00023", + "package_link": "https://zenodo.org/records/10210945/files/00023_PIX2PIXHD_BREAST_DCEMRI.zip?download=1", + "model_name": "30_net_G", + "extension": ".pth", + "image_size": [ + 512, 512 + ], + "dependencies": [ + "numpy", + "torch", + "torchvision", + "pillow" + ], + "generate_method": { + "name": "generate", + "args": { + "base": [ + "model_file", + "num_samples", + "output_path", + "save_images" + ], + "custom": { + "input_path": "input/", + "image_size": "512", + "gpu_id": "0" + } + } + } + }, + "selection": { + "performance": { + "SSIM": 0.726, + "MSE": 34.88, + "NSME": null, + "PSNR": 32.91, + "IS": null, + "FID": 28.71, + "turing_test": "", + "downstream_task": { + "CLF": { + "trained_on_fake": { + "accuracy": null, + "precision": null, + "recall": null, + "f1": null, + "specificity": null, + "AUROC": null, + "AUPRC": null + }, + "trained_on_real_and_fake": {}, + "trained_on_real": {} + }, + "SEG": { + "trained_on_fake": { + "dice": 0.687, + "jaccard": null, + "accuracy": null, + "precision": null, + "recall": null, + "f1": null + }, + "trained_on_real_and_fake": { + "dice": "0.797" + }, + "trained_on_real": { + "dice": "0.790" + } + } + } + }, + "use_cases": [ + "segmentation", + "tumour localization", + "classification", + "simulation" + ], + "organ": [ + "breast" + ], + "modality": [ + "dce-mri", + "mri", + "t1", + "t1-weighted", + "fat-saturated" + ], + "vendors": [], + "centres": [ + "Duke Hospital" + ], + "function": [], + "condition": [], + "dataset": [ + "DUKE" + ], + "augmentations": [], + "generates": [], + "height": 512, + "width": 512, + "depth": 1, + "type": "pix2pixHD", + "license": "BSD License", + "dataset_type": "DCE-MRI", + "privacy_preservation": "", + "tags": [ + "dce-mri", + "postcontrast", + "synthesis", + "breast", + "mri", + "treatment", + "i2i", + "pix2pixHD", + "SPIE" + ], + "year": 2023 + }, + "description": { + "title": "Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation", + "provided_date": "11.2023", + "trained_date": "2023", + "provided_after_epoch": 30, + "version": "1.0", + "publication": "https://doi.org/10.48550/arXiv.2311.10879", + "doi": [ + "https://doi.org/10.48550/arXiv.2311.10879" + ], + "inputs": [ + "input_path: default=input/, help=the path to .png breast DCE-MRI images that are translated from pre-contrast to the first DCE post-contrast sequence. ", + "image_size: default=[512, 512], help=list with image height and width. ", + "gpu_id: default=0, help=the gpu to run the model on." + ], + "comment": "Pix2Pix model for DCE-MRI slice generation from pre-contrast image input (Trained on Duke Breast MRI Dataset). A pix2pixHD mmodel that generates DCE-MRI axial slices based on checkpoint after 30 training epochs. \nThe pixel dimension of the generated images is 512x512. Several generated 2d slices can be merged together to create a 3D MRI volume with tumour tissue highlighted by synthetic contrast. \nThe uploaded ZIP file contains the files 30_net_G.pth (model weights), __init__.py (image generation method and utils), a requirements.txt, and further code below the /src folder for handling of model, data, and training utils. Sample input images are provided as an example for image generation." + } + } } \ No newline at end of file diff --git a/docs/source/_static/samples/00023.png b/docs/source/_static/samples/00023.png new file mode 100644 index 0000000000000000000000000000000000000000..f4c6df56d597db188075a24089303262efe98adf GIT binary patch literal 14196 zcmeIZXIN9&7cU$L5I_WkphSvDLP)l527y34Jlwo|;G=v;j_^T*gayD7Cr?RAoD>(Af+@;L zNh?6b#pTb#6_k*ws;Z~t(Ap?vEkzYo<=@)?N4VJm?1$YR1N{CHaO$vgPPRWU!2d2b zb|42Q7l@mO_sC&`dO-j?8xY9O0p#T5;5cl3>#!ccag0;wG*X{S73Q6WM*aOPzsA^^x~3IMp;d5U427iQ}eTq&X--? zJ-vPX%rVyZ#N_KYQ}YXpOUo;(@7LBpZ}05xefj!r|NHM#0Pa7?rVH5rNtQ4Cf93yC z;QtQ_bScVriPE~jIK%%IQTpLO`h^KNGScM#s`#tXVYO&s7Dc{D{1w?8@A}_)WP$Oo zOeiWw-b3Iz{Qq6`XEQn-+(errql#2R^R2vB$Vh$g%s*q}7s!rC{gpJ;^uxcJ>Af^M ztxM*=^E!Oiq$?_;Xlwc?+S|iHAVsR43CtC;Jgti>^{;tkW+pIkhjSytNlcuHp}gwh zJpLKsj|V+Ey$Ds926m%Zv4O8I#K7gdWZ{ModLbFkP5V=@934$n3?<&v3lmwnrGHSt z)aeyPm)G>aVh0Z}Bg2n^n@Rv0qiDb9ggcfq2;@jU<3;B=v4+Z976NY4A?|(e*^1Su 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z89XwP=j(5;tdr1Xr&wfdUsJ%&0^-@$tx=5wU9)b_Jp4l;y`IxqXb27RHT}bIII{&d zvXOR zTa2@=_aa9H_TfDP&t|?i!mMQ7s-cl7mi_g4==r_)ZE1A@VF-^np)Kf|sh`oi zt98LrLK;F6$7sRz7ucP7G0Bg{vVxbS|u zJiIebyzVYsgUnoo>NDO7d-rk0+%ey&P zBw92rlgZc-xrJ(a_w-}L-Z`BG?4>HOm4<1`P^q;}Fm>kHxqvkecgDP%Ln&1gQ8YJ# zs*hG#mGFAIS)`fA?w2)=sQqOXdOw1jwO?mtdMLA&Ombp*h@z- Date: Mon, 27 Nov 2023 21:52:25 +0000 Subject: [PATCH 03/15] Fix styling --- tests/test_model_executor.py | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/tests/test_model_executor.py b/tests/test_model_executor.py index d723f74..8b4c2b3 100644 --- a/tests/test_model_executor.py +++ b/tests/test_model_executor.py @@ -88,14 +88,15 @@ 3, ), ("00022_WGAN_CARDIAC_AGING", {}, 3), - ("00023_PIX2PIXHD_BREAST_DCEMRI", - { - "input_path": "input/", - "gpu_id": 0, - "image_size": 448, - }, - 3, - ) + ( + "00023_PIX2PIXHD_BREAST_DCEMRI", + { + "input_path": "input/", + "gpu_id": 0, + "image_size": 448, + }, + 3, + ), ] From 3d8236a8c6fe7622b43286b92da438d2d262ba45 Mon Sep 17 00:00:00 2001 From: Richard Osuala <47958412+RichardObi@users.noreply.github.com> Date: Mon, 27 Nov 2023 23:37:43 +0100 Subject: [PATCH 04/15] Update README.md Update of description of generate function with model 8 --- README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 091b709..df80b7e 100644 --- a/README.md +++ b/README.md @@ -85,7 +85,7 @@ Documentation is available at [medigan.readthedocs.io](https://medigan.readthedo ### Generation example #### DCGAN -Create mammography masses with labels (malignant or benign) using a cDCGAN model. +Create mammography masses with labels (malignant or benign) using a class-conditional DCGAN model. ```python # import medigan and initialize Generators from medigan import Generators @@ -96,7 +96,9 @@ generators = Generators() generators.generate(model_id=8, num_samples=8, install_dependencies=True) ``` ![sample](docs/source/_static/samples/c-dcgan/model8_samples.png) -The generated top row samples are malignant and the bottom row samples benign masses (regions-of-interest of mammograms). + +The synthetic images in the top row show malignant masses (breast cancer) while the images in the bottom row show benign masses. +Given such images with class information, image classification models can be (pre-)trained. #### CYCLEGAN From be9e6895ed8eda4a13a75b17dbeb1aabfcd132d9 Mon Sep 17 00:00:00 2001 From: RichardObi Date: Tue, 28 Nov 2023 13:59:51 +0100 Subject: [PATCH 05/15] 00023 new upload to fix bug in relative imports. --- config/global.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/config/global.json b/config/global.json index d7c37f3..1a2f478 100644 --- a/config/global.json +++ b/config/global.json @@ -3360,7 +3360,7 @@ "00023_PIX2PIXHD_BREAST_DCEMRI": { "execution": { "package_name": "00023", - "package_link": "https://zenodo.org/records/10210945/files/00023_PIX2PIXHD_BREAST_DCEMRI.zip?download=1", + "package_link": "https://zenodo.org/records/10213112/files/00023.zip?download=1", "model_name": "30_net_G", "extension": ".pth", "image_size": [ From f7e622fdc3bfde33a5e7f4e5b129cd9060f53b59 Mon Sep 17 00:00:00 2001 From: RichardObi Date: Tue, 28 Nov 2023 15:17:58 +0100 Subject: [PATCH 06/15] 00023 new upload to fix bug in relative imports. --- config/global.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/config/global.json b/config/global.json index 1a2f478..15bcfee 100644 --- a/config/global.json +++ b/config/global.json @@ -3360,7 +3360,7 @@ "00023_PIX2PIXHD_BREAST_DCEMRI": { "execution": { "package_name": "00023", - "package_link": "https://zenodo.org/records/10213112/files/00023.zip?download=1", + "package_link": "https://zenodo.org/records/10213802/files/00023.zip?download=1", "model_name": "30_net_G", "extension": ".pth", "image_size": [ From c4f53a44f08a3020e2ad13bee579532d0be77747 Mon Sep 17 00:00:00 2001 From: RichardObi Date: Tue, 28 Nov 2023 17:36:51 +0100 Subject: [PATCH 07/15] Adjustment of test for better debugging. --- tests/test_model_executor.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/tests/test_model_executor.py b/tests/test_model_executor.py index 8b4c2b3..0873fcd 100644 --- a/tests/test_model_executor.py +++ b/tests/test_model_executor.py @@ -16,9 +16,18 @@ # Set the logging level depending on the level of detail you would like to have in the logs while running the tests. -LOGGING_LEVEL = logging.INFO # WARNING # logging.INFO +LOGGING_LEVEL = logging.DEBUG # WARNING # logging.INFO models_with_args = [ + ( + "00023_PIX2PIXHD_BREAST_DCEMRI", + { + "input_path": "input", + "gpu_id": 0, + "image_size": 448, + }, + 3, + ), ( "00001_DCGAN_MMG_CALC_ROI", {}, @@ -88,15 +97,6 @@ 3, ), ("00022_WGAN_CARDIAC_AGING", {}, 3), - ( - "00023_PIX2PIXHD_BREAST_DCEMRI", - { - "input_path": "input/", - "gpu_id": 0, - "image_size": 448, - }, - 3, - ), ] From 093ba763d2c7f38a1fc20782a4e001fed760f9d2 Mon Sep 17 00:00:00 2001 From: RichardObi Date: Tue, 28 Nov 2023 18:38:22 +0100 Subject: [PATCH 08/15] Adjustment of test for better debugging. --- tests/test_model_executor.py | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/tests/test_model_executor.py b/tests/test_model_executor.py index 0873fcd..0aef62a 100644 --- a/tests/test_model_executor.py +++ b/tests/test_model_executor.py @@ -55,21 +55,21 @@ ), ("00005_DCGAN_MMG_MASS_ROI", {}, 3), ("00006_WGANGP_MMG_MASS_ROI", {}, 3), - ( - "00007_INPAINT_BRAIN_MRI", - { - "image_size": (256, 256), - "num_inpaints_per_sample": 2, - "randomize_input_image_order": False, - "add_variations_to_mask": False, - "x_center": 120, - "y_center": 140, - "radius_1": 8, - "radius_2": 12, - "radius_3": 24, - }, - 3, - ), + # ( + # "00007_INPAINT_BRAIN_MRI", + # { + # "image_size": (256, 256), + # "num_inpaints_per_sample": 2, + # "randomize_input_image_order": False, + # "add_variations_to_mask": False, + # "x_center": 120, + # "y_center": 140, + # "radius_1": 8, + # "radius_2": 12, + # "radius_3": 24, + # }, + # 3, + # ), ( "00008_C-DCGAN_MMG_MASSES", {"condition": 0, "is_cbisddsm_training_data": False}, From fa286d1f2cb2349748ff6967db5946e537d32ea1 Mon Sep 17 00:00:00 2001 From: RichardObi Date: Tue, 28 Nov 2023 20:43:43 +0100 Subject: [PATCH 09/15] Fix of model 0007 error in debug logging mode. --- config/global.json | 2 +- tests/test_model_executor.py | 30 +++++++++++++++--------------- 2 files changed, 16 insertions(+), 16 deletions(-) diff --git a/config/global.json b/config/global.json index 15bcfee..ac58884 100644 --- a/config/global.json +++ b/config/global.json @@ -952,7 +952,7 @@ "00007_INPAINT_BRAIN_MRI": { "execution": { "package_name": "00007_INPAINT_BRAIN_MRI", - "package_link": "https://zenodo.org/record/7042217/files/00007_INPAINT_BRAIN_MRI.zip?download=1", + "package_link": "https://zenodo.org/records/10214677/files/00007_INPAINT_BRAIN_MRI.zip?download=1", "model_name": "inp_gen", "extension": ".pth", "image_size": [ diff --git a/tests/test_model_executor.py b/tests/test_model_executor.py index 0aef62a..0873fcd 100644 --- a/tests/test_model_executor.py +++ b/tests/test_model_executor.py @@ -55,21 +55,21 @@ ), ("00005_DCGAN_MMG_MASS_ROI", {}, 3), ("00006_WGANGP_MMG_MASS_ROI", {}, 3), - # ( - # "00007_INPAINT_BRAIN_MRI", - # { - # "image_size": (256, 256), - # "num_inpaints_per_sample": 2, - # "randomize_input_image_order": False, - # "add_variations_to_mask": False, - # "x_center": 120, - # "y_center": 140, - # "radius_1": 8, - # "radius_2": 12, - # "radius_3": 24, - # }, - # 3, - # ), + ( + "00007_INPAINT_BRAIN_MRI", + { + "image_size": (256, 256), + "num_inpaints_per_sample": 2, + "randomize_input_image_order": False, + "add_variations_to_mask": False, + "x_center": 120, + "y_center": 140, + "radius_1": 8, + "radius_2": 12, + "radius_3": 24, + }, + 3, + ), ( "00008_C-DCGAN_MMG_MASSES", {"condition": 0, "is_cbisddsm_training_data": False}, From b92793a5e7b453990a65f437afbab49c9e0d1c2c Mon Sep 17 00:00:00 2001 From: RichardObi Date: Tue, 28 Nov 2023 21:17:15 +0100 Subject: [PATCH 10/15] adjustment of model 00007 --- config/global.json | 2 +- tests/test_model_executor.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/config/global.json b/config/global.json index ac58884..1741f03 100644 --- a/config/global.json +++ b/config/global.json @@ -952,7 +952,7 @@ "00007_INPAINT_BRAIN_MRI": { "execution": { "package_name": "00007_INPAINT_BRAIN_MRI", - "package_link": "https://zenodo.org/records/10214677/files/00007_INPAINT_BRAIN_MRI.zip?download=1", + "package_link": "https://zenodo.org/records/10214796/files/00007_INPAINT_BRAIN_MRI.zip?download=1", "model_name": "inp_gen", "extension": ".pth", "image_size": [ diff --git a/tests/test_model_executor.py b/tests/test_model_executor.py index 0873fcd..9e88cfb 100644 --- a/tests/test_model_executor.py +++ b/tests/test_model_executor.py @@ -16,7 +16,7 @@ # Set the logging level depending on the level of detail you would like to have in the logs while running the tests. -LOGGING_LEVEL = logging.DEBUG # WARNING # logging.INFO +LOGGING_LEVEL = logging.INFO # WARNING # logging.INFO models_with_args = [ ( From a1001561dcee11f3a9a0b919321dd21db24e1f9d Mon Sep 17 00:00:00 2001 From: RichardObi Date: Wed, 29 Nov 2023 00:04:54 +0100 Subject: [PATCH 11/15] Bug fix: Dataloader empty in case of model internally not returning correct tuple format. --- tests/model_integration_test_manual.py | 25 ++++++++++++++++++++++--- tests/test_model_executor.py | 9 +++++++-- 2 files changed, 29 insertions(+), 5 deletions(-) diff --git a/tests/model_integration_test_manual.py b/tests/model_integration_test_manual.py index fba02b3..ed5b931 100644 --- a/tests/model_integration_test_manual.py +++ b/tests/model_integration_test_manual.py @@ -6,8 +6,8 @@ import logging MODEL_ID = "YOUR_MODEL_ID_HERE" -MODEL_ID = "00002_DCGAN_MMG_MASS_ROI" # "00007_BEZIERCURVE_TUMOUR_MASK" -NUM_SAMPLES = 10 +MODEL_ID = 23 #"00023_PIX2PIXHD_BREAST_DCEMRI" #"00002_DCGAN_MMG_MASS_ROI" # "00007_BEZIERCURVE_TUMOUR_MASK" +NUM_SAMPLES = 2 OUTPUT_PATH = f"output/{MODEL_ID}/" try: from src.medigan.generators import Generators @@ -21,11 +21,30 @@ model_id=MODEL_ID, num_samples=NUM_SAMPLES, output_path=OUTPUT_PATH, + input_path="input/", + gpu_id= 0, + image_size=448, + install_dependencies=True, + ) -generators.get_as_torch_dataloader( +data_loader = generators.get_as_torch_dataloader( model_id=MODEL_ID, num_samples=NUM_SAMPLES, output_path=OUTPUT_PATH, + input_path="input/", + gpu_id=0, + image_size=448, # prefetch_factor=2, # debugging with torch v2.0.0: This will raise an error for torch DataLoader if num_workers == None at the same time. ) + +print(f"len(data_loader): {len(data_loader)}") + +if len(data_loader) != NUM_SAMPLES: + logging.warning( + f"{MODEL_ID}: The number of samples in the dataloader (={len(data_loader)}) is not equal the number of samples requested (={NUM_SAMPLES}).") + +#### Get the object at index 0 from the dataloader +data_dict = next(iter(data_loader)) + +print(f"data_dict: {data_dict}") diff --git a/tests/test_model_executor.py b/tests/test_model_executor.py index 9e88cfb..cf2ad66 100644 --- a/tests/test_model_executor.py +++ b/tests/test_model_executor.py @@ -261,7 +261,12 @@ def test_get_dataloader_method(self, model_id): data_loader = self.generators.get_as_torch_dataloader( model_id=model_id, num_samples=self.num_samples ) - self.logger.debug(f"len(data_loader): {len(data_loader)}") + self.logger.debug(f"{model_id}: len(data_loader): {len(data_loader)}") + + if len(data_loader) != self.num_samples: + logging.warning(f"{model_id}: The number of samples in the dataloader (={len(data_loader)}) is not equal the number of samples requested (={self.num_samples}). " + f"Hint: Revise if the model's internal generate() function returned tuples as required in get_as_torch_dataloader().") + #### Get the object at index 0 from the dataloader data_dict = next(iter(data_loader)) @@ -305,7 +310,7 @@ def _check_if_samples_were_generated( ): # check if the number of generated samples of model_id_1 is as expected. file_list = glob.glob(self.test_output_path + "/*") - self.logger.debug(f"{len(file_list)} == {self.num_samples} ?") + self.logger.debug(f"{model_id}: {len(file_list)} == {self.num_samples} ?") if num_samples is None: num_samples = self.num_samples From c35142d9f04b999085a18959b414a836e3f2715b Mon Sep 17 00:00:00 2001 From: RichardObi Date: Wed, 29 Nov 2023 00:30:10 +0100 Subject: [PATCH 12/15] Upload of new model 00023 with fixed return format --- config/global.json | 2 +- tests/test_model_executor.py | 18 +++++++++--------- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/config/global.json b/config/global.json index 1741f03..52760ed 100644 --- a/config/global.json +++ b/config/global.json @@ -3360,7 +3360,7 @@ "00023_PIX2PIXHD_BREAST_DCEMRI": { "execution": { "package_name": "00023", - "package_link": "https://zenodo.org/records/10213802/files/00023.zip?download=1", + "package_link": "https://zenodo.org/records/10215107/files/00023_PIX2PIXHD_BREAST_DCEMRI.zip?download=1", "model_name": "30_net_G", "extension": ".pth", "image_size": [ diff --git a/tests/test_model_executor.py b/tests/test_model_executor.py index cf2ad66..d3327ed 100644 --- a/tests/test_model_executor.py +++ b/tests/test_model_executor.py @@ -19,15 +19,6 @@ LOGGING_LEVEL = logging.INFO # WARNING # logging.INFO models_with_args = [ - ( - "00023_PIX2PIXHD_BREAST_DCEMRI", - { - "input_path": "input", - "gpu_id": 0, - "image_size": 448, - }, - 3, - ), ( "00001_DCGAN_MMG_CALC_ROI", {}, @@ -97,6 +88,15 @@ 3, ), ("00022_WGAN_CARDIAC_AGING", {}, 3), + ( + "00023_PIX2PIXHD_BREAST_DCEMRI", + { + "input_path": "input", + "gpu_id": 0, + "image_size": 448, + }, + 3, + ), ] From fe48dc8579336e991be5cab6013d5728de9e7386 Mon Sep 17 00:00:00 2001 From: RichardObi Date: Tue, 28 Nov 2023 23:31:16 +0000 Subject: [PATCH 13/15] Fix styling --- tests/model_integration_test_manual.py | 8 ++++---- tests/test_model_executor.py | 6 ++++-- 2 files changed, 8 insertions(+), 6 deletions(-) diff --git a/tests/model_integration_test_manual.py b/tests/model_integration_test_manual.py index ed5b931..8decfa9 100644 --- a/tests/model_integration_test_manual.py +++ b/tests/model_integration_test_manual.py @@ -6,7 +6,7 @@ import logging MODEL_ID = "YOUR_MODEL_ID_HERE" -MODEL_ID = 23 #"00023_PIX2PIXHD_BREAST_DCEMRI" #"00002_DCGAN_MMG_MASS_ROI" # "00007_BEZIERCURVE_TUMOUR_MASK" +MODEL_ID = 23 # "00023_PIX2PIXHD_BREAST_DCEMRI" #"00002_DCGAN_MMG_MASS_ROI" # "00007_BEZIERCURVE_TUMOUR_MASK" NUM_SAMPLES = 2 OUTPUT_PATH = f"output/{MODEL_ID}/" try: @@ -22,10 +22,9 @@ num_samples=NUM_SAMPLES, output_path=OUTPUT_PATH, input_path="input/", - gpu_id= 0, + gpu_id=0, image_size=448, install_dependencies=True, - ) data_loader = generators.get_as_torch_dataloader( @@ -42,7 +41,8 @@ if len(data_loader) != NUM_SAMPLES: logging.warning( - f"{MODEL_ID}: The number of samples in the dataloader (={len(data_loader)}) is not equal the number of samples requested (={NUM_SAMPLES}).") + f"{MODEL_ID}: The number of samples in the dataloader (={len(data_loader)}) is not equal the number of samples requested (={NUM_SAMPLES})." + ) #### Get the object at index 0 from the dataloader data_dict = next(iter(data_loader)) diff --git a/tests/test_model_executor.py b/tests/test_model_executor.py index d3327ed..82a23a8 100644 --- a/tests/test_model_executor.py +++ b/tests/test_model_executor.py @@ -264,8 +264,10 @@ def test_get_dataloader_method(self, model_id): self.logger.debug(f"{model_id}: len(data_loader): {len(data_loader)}") if len(data_loader) != self.num_samples: - logging.warning(f"{model_id}: The number of samples in the dataloader (={len(data_loader)}) is not equal the number of samples requested (={self.num_samples}). " - f"Hint: Revise if the model's internal generate() function returned tuples as required in get_as_torch_dataloader().") + logging.warning( + f"{model_id}: The number of samples in the dataloader (={len(data_loader)}) is not equal the number of samples requested (={self.num_samples}). " + f"Hint: Revise if the model's internal generate() function returned tuples as required in get_as_torch_dataloader()." + ) #### Get the object at index 0 from the dataloader data_dict = next(iter(data_loader)) From e0cb2d24c3b1c809c690416829217a7b1a189bd7 Mon Sep 17 00:00:00 2001 From: RichardObi Date: Wed, 29 Nov 2023 03:04:19 +0100 Subject: [PATCH 14/15] Version conflict - updating correct version. --- config/global.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/config/global.json b/config/global.json index 52760ed..8d9a3e0 100644 --- a/config/global.json +++ b/config/global.json @@ -3360,7 +3360,7 @@ "00023_PIX2PIXHD_BREAST_DCEMRI": { "execution": { "package_name": "00023", - "package_link": "https://zenodo.org/records/10215107/files/00023_PIX2PIXHD_BREAST_DCEMRI.zip?download=1", + "package_link": "https://zenodo.org/records/10215253/files/00023.zip?download=1", "model_name": "30_net_G", "extension": ".pth", "image_size": [ From fd0cec79e50193ed53f6143e092d9549b8f779be Mon Sep 17 00:00:00 2001 From: RichardObi Date: Wed, 29 Nov 2023 05:02:30 +0100 Subject: [PATCH 15/15] 00023 adjustment of relative imports in model files. --- config/global.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/config/global.json b/config/global.json index 8d9a3e0..d96be70 100644 --- a/config/global.json +++ b/config/global.json @@ -3360,7 +3360,7 @@ "00023_PIX2PIXHD_BREAST_DCEMRI": { "execution": { "package_name": "00023", - "package_link": "https://zenodo.org/records/10215253/files/00023.zip?download=1", + "package_link": "https://zenodo.org/records/10215478/files/00023.zip?download=1", "model_name": "30_net_G", "extension": ".pth", "image_size": [